Gitnux/Report 2026

AI In The Power Industry Statistics

A $3.7 billion U.S. cybersecurity forecast for critical infrastructure and a $5.2 billion smart grid market forecast in 2024 sit side by side with how far utilities have really come, from 29% using ML-driven outage prediction by 2023 to 72% saying their data governance enables analytics and AI. It also quantifies what that discipline buys, like up to 30% better outage prediction accuracy and a $1.0 to $2.3 billion annual U.S. benefit potential from AI in grid operations.
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AI In The Power Industry Statistics
Isabelle MoreauWritten by Isabelle Moreau·Edited by Christopher Morgan·Fact-checked by Olivia Thornton
Last verified Jul 9, 2026
Verified via a 4-step process
01Source

Data aggregated from peer-reviewed journals, government agencies, and professional bodies with disclosed methodology and sample sizes.

02Verify

Each statistic is independently verified via reproduction analysis and cross-referencing against independent databases.

03Grade

Figures are graded by cross-model consensus. Statistics failing independent corroboration are excluded regardless of how widely cited.

04Cite

Every figure carries a primary source. We maintain stable URLs and versioned verification dates so the report can be cited.

Read our full methodology →

Statistics that fail independent corroboration are excluded.

Next review Jan 2027
Utilities have earmarked 18 GW of generation capacity for AI-enabled grid modernization projects. The global smart grid market stands at 5.2 billion dollars. Statistics on adoption rates, cost savings, and performance metrics show where deployments deliver results and where gaps remain.

Key Takeaways

  • $3.5 billion global advanced metering infrastructure (AMI) market size forecast for 2024
  • $5.2 billion global smart grid market size in 2024 (forecast)
  • $3.0 billion global utility asset management software market size forecast for 2024
  • 29% of utilities had deployed ML-driven outage prediction by 2023 (survey)
  • 72% of utilities say they have data governance practices enabling analytics/AI (survey)
  • 18 GW of generation capacity planned for AI-enabled grid modernization projects in 2024 (utility program registry)
  • $1.0–$2.3 billion annual U.S. benefit potential from AI in grid operations (EPRI estimate)
  • 13% reduction in scheduled maintenance work orders using AI-assisted planning (case study)
  • $25 million estimated annual benefit from AI-based transformer monitoring in a large utility (case study)
  • 99.9% availability target for distribution AI fault detection systems in pilot deployments (utility program KPI)
  • Up to 30% improvement in outage prediction accuracy with ML models in distribution studies (peer-reviewed)
  • In a cross-utility benchmark, AI-based transformer monitoring achieved 0.85 AUC for identifying imminent failures (study)
  • NIST AI Risk Management Framework (AI RMF 1.0) published Jan 2023; utilities increasingly use it to govern AI deployments
  • IEA: electricity demand growth projection of 2,400 TWh by 2030 (drives AI forecasting and grid optimization needs)
  • FERC: U.S. interconnection queues totaled ~1,000 GW in 2024, increasing need for AI-enabled grid planning and congestion forecasting

Utilities are scaling AI across smart grids, forecasting and maintenance, with major market growth and measurable outage and cost benefits.

Related reading

01 · Category

Market Size7 stats

01
$3.5 billion global advanced metering infrastructure (AMI) market size forecast for 2024
02
$5.2 billion global smart grid market size in 2024 (forecast)
03
$3.0 billion global utility asset management software market size forecast for 2024
04
$2.9 billion global operations, maintenance & outage management software market size forecast for 2024
05
$7.4 billion global smart energy market size forecast for 2024
06
$3.7 billion U.S. market for cybersecurity in critical infrastructure forecast for 2024 (utilities included)
07
$2.6 billion global predictive maintenance market size forecast for 2024 (includes utility generation equipment)
Interpretation

Market Size Interpretation

In the Market Size category, forecasts for 2024 show a sizable and diversified AI opportunity across the power industry, with figures like $5.2 billion for the smart grid, $3.5 billion for advanced metering infrastructure, and cybersecurity in critical infrastructure reaching $3.7 billion in the U.S., indicating strong demand for AI-enabled grid modernization, asset management, and reliability solutions.

02 · Category

User Adoption6 stats

01
29% of utilities had deployed ML-driven outage prediction by 2023 (survey)
02
72% of utilities say they have data governance practices enabling analytics/AI (survey)
03
18 GW of generation capacity planned for AI-enabled grid modernization projects in 2024 (utility program registry)
04
33% of utilities planned to deploy AI-powered virtual assistants for field technicians in 2025 (survey)
05
40% of energy companies using AI stated they track AI model performance with automated monitoring (survey)
06
29% of utilities reported training on AI with synthetic data to address class imbalance (survey)
Interpretation

User Adoption Interpretation

For the user adoption of AI in the power industry, adoption is clearly moving from early deployments to broader operational uptake, with 72% of utilities already reporting data governance that supports analytics and AI and 40% of energy companies using AI tracking model performance with automated monitoring.

03 · Category

Cost Analysis5 stats

01
$1.0–$2.3 billion annual U.S. benefit potential from AI in grid operations (EPRI estimate)
02
13% reduction in scheduled maintenance work orders using AI-assisted planning (case study)
03
$25 million estimated annual benefit from AI-based transformer monitoring in a large utility (case study)
04
$0.8 billion estimated annual reduction in greenhouse gas emissions co-benefits from AI-enabled generation dispatch (study)
05
$1.7–$2.4M pilot value from AI-driven substation maintenance prioritization (utility pilot estimate)
Interpretation

Cost Analysis Interpretation

Cost analysis data suggest AI is already showing measurable savings and efficiency across grid operations, with benefits ranging from an EPRI estimate of $1.0 to $2.3 billion annually in the US to case study impacts like a 13% reduction in scheduled maintenance work orders and $25 million a year from transformer monitoring.

More related reading

04 · Category

Performance Metrics9 stats

01
99.9% availability target for distribution AI fault detection systems in pilot deployments (utility program KPI)
02
Up to 30% improvement in outage prediction accuracy with ML models in distribution studies (peer-reviewed)
03
In a cross-utility benchmark, AI-based transformer monitoring achieved 0.85 AUC for identifying imminent failures (study)
04
Fraud detection ML reduced fraudulent payment rates by 27% in electric utility billing operations (industry report)
05
AI-based early warning reduced generator trip events by 10% in a 12-month study (utility analytics study)
06
AI anomaly detection detected 92% of simulated incipient transformer faults (lab validation)
07
0.4% reduction in system average interruption frequency index (SAIFI) from AI-driven fault classification (utility report)
08
AI-enhanced battery energy storage dispatch improved revenue by 6% in a 2023 pilot (operator report)
09
AI optimization reduced energy losses by 6.5% in a distribution feeder study (academic)
Interpretation

Performance Metrics Interpretation

Across power industry performance metrics, AI is showing measurable reliability and accuracy gains, including 99.9% availability for distribution fault detection pilots and up to 30% better outage prediction accuracy, alongside strong detection results like 92% of simulated incipient transformer faults.
report visual · Comparison

AI Adoption Signal in the Power Industry

Survey evidence shows utilities are moving from early outage-prediction deployments toward broader AI readiness—supported by governance and performance monitoring practices.

72% of utilities say they have data governance practices enabling analytics/AI (survey)72%
40% of energy companies using AI stated they track AI model performance with automated monitoring (survey)
40%
29% of utilities had deployed ML-driven outage prediction by 2023 (survey)
29%
source-verifiedepri.com · gartner.com · fidelity.com2023
Reference

Cite This Report

This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.

APA
Isabelle Moreau. (2026, February 13). AI In The Power Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-power-industry-statistics
MLA
Isabelle Moreau. "AI In The Power Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-power-industry-statistics.
Chicago
Isabelle Moreau. 2026. "AI In The Power Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-power-industry-statistics.

Sources & references

37 datasets cited across this report · attribution is report-level

fortunebusinessinsights.comglobenewswire.commordorintelligence.comibisworld.comepri.comgartner.comiea.orgutilitydive.comenergycentral.compnnl.govieeexplore.ieee.orgsciencedirect.comnist.govferc.goveur-lex.europa.eucloud.google.comsmartgrid.govlexisnexisrisk.comfidelity.comresearchgate.netieso.caenergy.gov

+15 additional datasets cited (not shown individually)